Prediction of Boron Content in Wood Pellet Products by Near-Infrared Spectroscopy

A rapid method assessed the potential of near-infrared spectroscopy (NIRS) to estimate boron content of wood pellet products. Based on a comparison of NIR spectra data in the 1,100- to 2,200-nm wavelength region of Eastern black spruce (Picea mariana var. mariana) wood pellets treated with preservat...

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Bibliographic Details
Published in:Forest products journal 2016-01, Vol.66 (1-2), p.37-43
Main Authors: Koumbi-Mounanga, Thierry, Groves, Kevin, Cooper, Paul A, Ung, Tony, Yan, Ning, Leblon, Brigitte
Format: Article
Language:English
Subjects:
Analysis
Biodegradation
Bond strength
Boron
Calibration
Colleges & universities
Contact angle
Data processing
Environmental aspects
Forest products industry
Infrared spectroscopy
Laboratories
Mean square errors
Measurement
Methods
Picea mariana
Software
Spectrum analysis
Wood composites
Wood preservatives
Wood products
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Summary:A rapid method assessed the potential of near-infrared spectroscopy (NIRS) to estimate boron content of wood pellet products. Based on a comparison of NIR spectra data in the 1,100- to 2,200-nm wavelength region of Eastern black spruce (Picea mariana var. mariana) wood pellets treated with preservative concentrations ranging from 0 to 2 percent and from 0 to 20 percent glycol borate–based disodium octaborate tetrahydrate (DOT), the minimum level of boric acid equivalent required to protect wood from biodegradation was revealed. Borate was indicated in the 1,700- to 1,900-nm wavelength region and the visible-NIR absorbance trended to a proportion higher for the lower borate concentrations and lower for the higher borate concentrations. These were correlated by projection to the latent structures–partial least-squares regression method and the sample-specific standard error of prediction method. Calibration sets achieved R2 values from 0.7 to 0.95, root mean square error (RMSE) ranging from 0.3 to 1.61 percent, and relative percent difference (RPD) ranging from 1.8 to 4.4, whereas validation statistics achieved R2 values from 0.64 to 0.94, RMSE ranging from 0.33 to 1.65 percent, and RPD ranging from 1.7 to 4.3. These preliminary results indicate that NIRS should be able to provide a greater quantitative and qualitative technique of predicting boron content in wood products for the preservation industry.
ISSN:0015-7473
2376-9637
DOI:10.13073/FPJ-D-14-00048